Muhammad Suryanegara

The Interference on WCDMA System in 3G Coexistence Network

The coexistence network of different 3G technologies (WCDMA and cdma2000) requires analysis of its adjacent channel interference. In this paper, we investigated the interference on WCDMA system that caused by cdma2000 network. Several scenarios and calculation models were applied to measure impacts on uplink and downlink scheme. The results showed that interference from cdma2000 influence WCDMA performance significantly. Distance between coexistence terminals (MS and BS), their number, and guard band frequency determined minimum allowed received power at WCDMA BS and SIR in WCDMA MS, which lead to capacity degradation

Modulation performance in Wireless Avionics Intra Communications (WAIC)

This paper discusses the comparison of 4 (four) types of modulation used in WAIC technology. WAIC (Wireless Avionics Intra Communications) is a new wireless system that connects avionics over short distances in the aircraft. The technology was proposed by ITU (International Telecommunication Union), ICAO (International Civil Aviation Organization), AVSI (Aerospace Vehicle Systems Institute), and aircraft manufacturers. The various kinds of modulation give significant impact to required WAIC spectrum. Subsequently, such factor is also determined by the modulation efficiency that is unique to the type of modulation. This paper investigates the modulation trade-offs that must be fulfilled to gain optimum result. These optimum results are the key findings to determine the spectrum and the number of OPS (Omnidirectional Point Source). The parameters being simulated are power, modulation efficiency, BER, and the total spectrum needed. The result shows that QPSK is the best proposed modulation respected to the most optimum simulation results. In conclusion, QPSK could be used as the modulation system used in WAIC technology.

On developing the model of Smart Logistic Transport in Indonesia

AEC 2015 has been creating more challenges in logistics industries in Indonesia. The implementation of Internet of Things (IoT) in logistic services is needed for increasing competitiveness leading to the establishment of so-called “smart logistic transport”. We propose the business model of the Indonesian Smart Logistic Transport, by focusing on cold supply chain system. There are two alternatives in the provision of services: First, network provider serves as an end-to-end system integrator; Second, application provider serves as an end-to-end system integrator. The development of the model is completed by conducting interviews with the application customers, technological vendors, regulator and network provider. Our model has signified basic & advanced features.

Spectrum requirement for IoT health sector in Indonesia

Internet of Things (IoT) has grown rapidlly in various sectors including health sector. There are many technologies used for IoT such as Wi-Fi, Bluetooth, and LTE-Advanced. IoT for health sector in Indonesia is used to improve health services based on telemedicine services roadmap by Indonesian Ministry of Health. This services include teleECG, teleRadiology and teleUSG which utilize mobile technology. In Indonesia, there is a tendency that IoT will be implemented on a large scale. Meanwhile, Indonesia is expected to experience deficiency of 500 MHz mobile spectrum in 2020. Therefore, the calculation of spectrum for telemedicine services is urgently needed. This paper aims to calculate the spectrum that is required for health sector in Indonesia by using mobile technology especially LTE. We use the method of general LTE planning equation. The result is the requirements of spectrum for telemedicine services will be growing 14.44% until 2025. On 2025, telemedicine services are predicted to use 165,47 kHz. Regardless of the spectrum needed by telemedicine services is only in the order of kHz, it should be considered since it will enlarge spectrum deficiency in Indonesia. The government of Indonesia should prepare about strategic spectrum management to anticipate the massive growing of IoT application, such as a roadmap of IoT development and a regulation of specific frequency in the nearest future.

What Changes After Switching to 4G-LTE? Findings From the Indonesian Market

This paper identifies the market changes following the technological switch from 3G to 4G in the Indonesian market. The primary data were obtained by conducting a market survey in April-May 2017. A set of questionnaires was developed to compare subscribers’ activities between 3G and 4G service utilization in terms of two activity clusters. The first cluster consists of 14 conventional activities, representing typical activities that have been occurring since the previous implementation of mobile technology. The second cluster consists of 11 digital ecosystem activities, referring to services that also engage other technological systems through data communications. Subsequently, the strategic implications for mobile network operators were investigated from the theoretical perspective of technological evolution. The results indicate that mobile network operators should adaptively respond by making messenger applications the core of new service innovations. Significant traffic intensification is also observed with regard to conventional activities, and there is a need for market education along with digital ecosystem establishment. The findings also imply a changing paradigm in terms of how users value service experience when accessing 4G applications. The overall experience is determined by interdependent components shaping an ecosystem perspective. The user’s handheld mobile device acts as the central gateway for data communications, and its performance is assessed in relation to other connected devices and applications.

The cost-benefit analysis of integrated government radio network for PPDR (Public protection and disaster relief) in Indonesia

Indonesia is a maritime country that lies in the worlds three major plates and lane ring of fire that has great potential for disaster case. A specific telecommunications network has an important role as a means of communication for the disaster relief as well as for public protection. Integrated government radio network for Public Protection and Disaster Relief is in critical needs to be deployed. This paper aims to evaluate the 2 (two) scenarios of the development of PPDR network in Indonesia. The Scenario I refers to a mechanism in which PPDR network is specifically built and operated by the government; and the Scenario II refers to the partnership mechanism between the government and LTE network service provider to handle the PPDR network. We conducted Cost-Benefit analysis by focusing on the three main provinces in Indonesia, i.e. Jakarta, West Java and Banten. It is found that the development of PPDR network is economically feasible for both scenarios. However, the cost of Scenario II is is half of the total cost of Scenario I. By choosing Scenario II government may save 1.4 trillion IDR but will face the issue of network dependency and commitment of the network service provider.

The forecasting model of 4G LTE implementation in Indonesia

Forecasting is an important step before the market deployment of upcoming 4G mobile technologies, i.e. LTE release 8 and release 10. A forecasting model working on the basis of Gompertz curve has been developed. Scenarios of rapid, moderate, and slow growth has been simulated by taking the case of Indonesia, in which the LTE frequency bands were assumed to be 1800 MHz and 2300 MHz. The number of LTE transceiver sites development depends on the MIMO configuration of the chosen LTE technical specifications. It is found that moderate growth scenario has the stable and controllable growth with its rate below 10%. This scenario should be enforced with LTE commonality for regions throughout the country. This scenario could be viewed as the most reasonable way to implement LTE in Indonesia.

An evolutionary model of service innovation in 4G mobile technology

This paper aims to develop a model of evolutionary mechanism of service innovation in regards to the coming of 4G mobile technology. It is developed by approaching the evolutionary theory signifying the process of learning, adaptation and selection between cellular operators and the market. In our model, the Quality of Service mediates such evolutionary features, in which the operators will conduct learning process from the market as their environment. The fitness of the system will be achieved through a certain mechanism of selection and survival. Consequently, the success of service innovation strategy would be determined by certain parameters including quality, customer care, service coverage and tariff. Based on such model, the explanatory concept of 4G technological management is proposed.

Evaluation of 802.16 Tariff Proportion on Segmentation Scenarios

The most prominent features of WiMAX (IEEE 802.16 standard) are its wide coverage and high speed data-rate. A segmentation for WiMAX subscribers is needed by operators in order to reach all available subscriber types (class l=Platinum, class 2=Gold, dan class 3=Silver). A segmentation for WiMAX subscribers could also optimize the use of available bandwidth, according to the characteristics of each subscriber type. By segmenting potential customers, operators need to differentiate their tariff to reach expected profit. We evaluated tariffs composition scheme for segmented customers in metropolitan and rural area as general reference for operators. The calculations are based on model and algorithm considering WiMAX technical configurations, operators profit expectation, cost per users and tariff offered. The algorithm applied several models to meet possible classification and segmentation. As calculation example, we use specific parameters on typical WiMAX Business Model.

Heart Disease Diagnosis System with k-Nearest Neighbors Method Using Real Clinical Medical Records

Heart disease is a serious disease that can lead to the death of a patient. Many types of research have been performed related to heart disease, including computer science-based research. Heart disease diagnosis studies, which aim to predict the type of heart disease from which a patient suffers, are popular and refer to some clinical parameters taken from the patient in the hospital. These data are then computed using data mining or machine learning techniques. Some algorithms can be utilized for this purpose, for example, Naïve Bayes, Support Vector Machine, and k-Nearest Neighbor algorithms. This research intends to diagnose heart disease using a sample of patient data. The data were collected from Harapan Kita Hospital, the biggest cardiovascular hospital in Indonesia. The patient clinical parameters selected are taken from complete data available in the hospitals medical records. The k-Nearest Neighbor method gave good results for heart disease diagnosis, and these results can be further used for another purpose, such as telemedicine or a machine-to-machine (M2M) based healthcare system.